Cardiac valve annulus manual segmentation using computer assisted visual feedback in three-dimensional image data

Ramon Casero; Rebecca A.B. Burton; T. Alexander Quinn; Christian Bollensdorff; Patrick Hales; Jiirgen E. Schneider; Peter Kohl; Vicente Grau

doi:10.1109/IEMBS.2010.5626303

Cardiac valve annulus manual segmentation using computer assisted visual feedback in three-dimensional image data

Ramon Casero, Rebecca A.B. Burton, T. Alexander Quinn, Christian Bollensdorff, Patrick Hales, Jiirgen E. Schneider, Peter Kohl, Vicente Grau

Producción científica: Capítulo en Libro/Reporte/Acta de conferencia › Contribución a la conferencia

5 Citas (Scopus)

Resumen

Annulus manual segmentation is an important tool for the study of valve anatomy and physiology, for the four main valves of the heart (mitral, tricuspid, aortic and pulmonary). In this paper we review two traditional manual segmentation approaches: slice-by-slice and interpolating a sparse set of landmarks with a spline curve. We propose a new Spline Tool for the open source software platform Seg3D, that is fast and improves spatial coherence by providing visual feedback of the segmentation in real time. T he Spline Tool was tested successfully on 14 rat hearts, on aU four valves.

Idioma original	English
Título de la publicación alojada	2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10
Páginas	738-741
Número de páginas	4
DOI	https://doi.org/10.1109/IEMBS.2010.5626303
Estado	Published - 2010
Publicado de forma externa	Sí
Evento	2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10 - Buenos Aires, Argentina Duración: ago. 31 2010 → sep. 4 2010

Serie de la publicación

Nombre	2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10

Conference

Conference	2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10
País/Territorio	Argentina
Ciudad	Buenos Aires
Período	8/31/10 → 9/4/10

ASJC Scopus Subject Areas

Biomedical Engineering
Computer Vision and Pattern Recognition
Signal Processing
Health Informatics

PubMed: MeSH publication types

Evaluation Study
Journal Article
Research Support, Non-U.S. Gov't

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10.1109/IEMBS.2010.5626303

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Casero, R., Burton, R. A. B., Quinn, T. A., Bollensdorff, C., Hales, P., Schneider, J. E., Kohl, P., & Grau, V. (2010). Cardiac valve annulus manual segmentation using computer assisted visual feedback in three-dimensional image data. En 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10 (pp. 738-741). Artículo 5626303 (2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10). https://doi.org/10.1109/IEMBS.2010.5626303

Cardiac valve annulus manual segmentation using computer assisted visual feedback in three-dimensional image data. / Casero, Ramon; Burton, Rebecca A.B.; Quinn, T. Alexander et al.
2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10. 2010. p. 738-741 5626303 (2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10).

Producción científica: Capítulo en Libro/Reporte/Acta de conferencia › Contribución a la conferencia

Casero, R, Burton, RAB, Quinn, TA, Bollensdorff, C, Hales, P, Schneider, JE, Kohl, P & Grau, V 2010, Cardiac valve annulus manual segmentation using computer assisted visual feedback in three-dimensional image data. En 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10., 5626303, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10, pp. 738-741, 2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10, Buenos Aires, Argentina, 8/31/10. https://doi.org/10.1109/IEMBS.2010.5626303

Casero R, Burton RAB, Quinn TA, Bollensdorff C, Hales P, Schneider JE et al. Cardiac valve annulus manual segmentation using computer assisted visual feedback in three-dimensional image data. En 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10. 2010. p. 738-741. 5626303. (2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10). doi: 10.1109/IEMBS.2010.5626303

Casero, Ramon ; Burton, Rebecca A.B. ; Quinn, T. Alexander et al. / Cardiac valve annulus manual segmentation using computer assisted visual feedback in three-dimensional image data. 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10. 2010. pp. 738-741 (2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10).

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abstract = "Annulus manual segmentation is an important tool for the study of valve anatomy and physiology, for the four main valves of the heart (mitral, tricuspid, aortic and pulmonary). In this paper we review two traditional manual segmentation approaches: slice-by-slice and interpolating a sparse set of landmarks with a spline curve. We propose a new Spline Tool for the open source software platform Seg3D, that is fast and improves spatial coherence by providing visual feedback of the segmentation in real time. T he Spline Tool was tested successfully on 14 rat hearts, on aU four valves.",

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AU - Schneider, Jiirgen E.

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AB - Annulus manual segmentation is an important tool for the study of valve anatomy and physiology, for the four main valves of the heart (mitral, tricuspid, aortic and pulmonary). In this paper we review two traditional manual segmentation approaches: slice-by-slice and interpolating a sparse set of landmarks with a spline curve. We propose a new Spline Tool for the open source software platform Seg3D, that is fast and improves spatial coherence by providing visual feedback of the segmentation in real time. T he Spline Tool was tested successfully on 14 rat hearts, on aU four valves.

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Cardiac valve annulus manual segmentation using computer assisted visual feedback in three-dimensional image data

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